SOTAVerified

Cross-Lingual Transfer

Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.

Papers

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Showing 181–190 of 782 papers

TitleStatusHype
Cross-lingual Transfer Learning for Japanese Named Entity Recognition—0
Cross-lingual Transfer Learning for Javanese Dependency Parsing—0
Cross-Lingual Transfer Learning for Phrase Break Prediction with Multilingual Language Model—0
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources—0
Cross-lingual Transfer Learning for Pre-trained Contextualized Language Models—0
Cross-Lingual Transfer Learning for Question Answering—0
Cross-lingual Transfer Learning for Semantic Role Labeling in Russian—0
Cross-Lingual Transfer Learning for Speech Translation—0
Cross-lingual transfer learning for spoken language understanding—0
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4—Unverified
2mT0-13BAccuracy84.45—Unverified
3RoBERTa Large (translate test)Accuracy76.05—Unverified
4BLOOMZAccuracy75.5—Unverified
5MAD-X BaseAccuracy60.94—Unverified
6mGPTAccuracy55.5—Unverified